Akhil Jojo

BCA student · Full-stack AI development

Kalady, Keralam, India

@akhil_jojo

0 followers

Looking for internships

🎓 BCA - Full Stack AI Development at Jain University Kochi · Graduating 2029

About

First-year BCA student focused on AI-assisted software engineering, full-stack development, Flutter, automation, and local AI/LLM integration. Has built a Windows desktop AI assistant and a Flutter/Firebase location-sharing app, and is seeking part-time remote internships, freelance, and startup/project opportunities.

Education

BCA - Full Stack AI Development

Jain University Kochi

Full Stack AI Development · 2029
Higher Secondary

SNDP HSS NEELEESWARAM

Science · 2024 – 2026
Secondary

SNDP HSS NEELEESWARAM

SSLC · 2023 – 2024

Skills

<3 months

SQL CSS HTML Dart React Python Next.js Flutter Testing Security Automation JavaScript Prompt Engineering API Integration Understanding

Tools / apps / platforms

<3 months

Claude Gemini GitHub Ollama SQLite Lovable MongoDB VS Code Firebase Supabase Android Studio OpenAI ChatGPT Microsoft PowerShell

Languages

Native / Bilingual

Malayalam Speak

Fluent

English Speak

Projects

JARVIS V1

Python, PySide6, Ollama, Qwen3, SQLite, PyAudio, pyttsx3, GitHub API, Windows APIs

Windows desktop AI assistant with local Ollama/Qwen3 routing, natural-language commands, multi-step orchestration, voice input, text-to-speech, screen observation, and GitHub connectivity.
TrackMate ↗

Dart, Flutter, Firebase Authentication, Firebase Realtime Database, OpenStreetMap

Flutter Android app for consent-based friend/family location sharing and communication with username discovery, connection requests, real-time chat, foreground tracking, and OpenStreetMap.
Akhil Jojo Portfolio ↗

HTML, CSS, JavaScript, GitHub Pages, FormSubmit

Personal portfolio with interactive loading intro, multiple visual themes, custom cursor, Idea Lab, Share Your Idea form, and project showcase.
Future Path / Pathfinder AI

Career, course, and college recommendation concept focused on Kerala education information and a verified-information approach.
Smart Attendance

College attendance system concept using QR-based attendance, approximately 50 m location verification, and a limited attendance window.

Courses & certifications

Python and Machine Learning

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